In this webinar, you will: 

• See learning solutions created by your peers.
• Learn about the tools and technologies used to create these projects.
• Hear about the obstacles faced along the way and how they were overcome.
• Leave with inspiration that can be applied in your work.

The post 2025 Best of DevLearn DemoFest Webinar  appeared first on Learning Guild.

The future is not what the learning and development industry’s crystal ball predicted years ago. Many believed organizations would adopt one learning platform to fulfill all their training needs. Fast forward to today and this isn’t the case at all. The reality is that most organizations have disparate Learning Management Systems (LMSs) and data and BI tools implemented across every department. Each department has different priorities and needs specific tools designed for their own unique requirements. The result is the organization is left feeling disjointed and unable to easily track learner data. Now, a new and more daunting challenge is presented: Connecting these various systems and analytics together in a way that’s usable at scale, across geographies, and by both internal and external audiences.

In this session you will learn:

• What tools and systems are most commonly used in ecosystems today.
• How to identify the technical considerations in managing multiple systems and organizing disparate data.
• How to inventory your ecosystem and know what questions to ask vendors when acquiring new tools.
• How to organize your learning ecosystem to improve functionality and interoperability

The post Mapping Your Ecosystem: Uniting Content and Data Across Systems appeared first on Learning Guild.

Through real-world case examples, we will explore how strategic use of surveys, forms, and data analytics can elevate the learning impact of microlearning courses.

We will discuss how pre-assessments, post-assessments, and course evaluations have enabled an organization to pinpoint knowledge gaps, gather immediate learner feedback, and iteratively refine our microlearning designs. Explore and discuss how we utilize the results to inform current and future designs.

Learning objectives:

• Explain the role of surveys and forms as pre-assessments, post-assessments, and course evaluations within microlearning course environments.
• Describe the process of outlining, designing, and implementing surveys and forms to assess knowledge gaps and gather learner feedback.
• Analyze the survey and form results to evaluate the effectiveness of interventions.
• Apply insights from the survey and form data to inform the design of future learning experiences.

The post Using Data to Enhance the Learning Design of Microlearning Courses appeared first on Learning Guild.

We’ll examine how to: Build feedback loops between LMS data and instructional decisions. Use learning data to inform governance, pathway design, and content strategy. Translate metrics into meaningful actions that impact both learners and business outcomes.

Learning Objectives:

• Identify key metrics that can inform learning design decisions.
• Analyze learning data to uncover opportunities for improving system-wide engagement and efficiency.
• Create actionable strategies that align learning analytics with organizational goals.

The post Designing with Data: Using Learning Analytics to Architect Better Systems appeared first on Learning Guild.

Gain a comprehensive understanding of how courses, learners, and tracking data are structured, empowering you to ask smarter questions, generate targeted reports, and make data-driven decisions that drive organizational impact. We’ll explore common structures (courses, learners, enrollments, completions), highlight typical limitations of exports, and show how understanding the underlying model gives you more flexibility, better reporting, and smarter questions. No technical background required! We’ll use visual examples, simple metaphors, and real-world L&D scenarios to make the invisible architecture of your LMS make sense. If you’ve ever wondered “Why can’t I get that report? This session is for you.

Learning Objectives:

• Understand what a relational data model is and how most LMSs store and organize data
• Learn the key data relationships behind courses, learners, and tracking
• Discover what APIs are and how they can give you more access than standard reports
• Gain confidence in working with technical teams or vendors to ask for the right data

The post What’s Behind Your LMS Reports? Demystifying Data Models and APIs for Learning Pros appeared first on Learning Guild.

Learning Objectives:

• Apply a structured framework to evaluate the impact of a learning program retroactively.
• Design and implement a basic Impact Study using test and control groups to capture data across workforce segments.
• Leverage AI tools and prompts to accelerate analysis, surface key insights, and tell a compelling, executive-ready story about program value.

The post Back to the Impact: Measuring the Value of a Program Without a Pre-Built Strategy appeared first on Learning Guild.

Through guided worksheet activities, you’ll design a customized time tracking approach tailored to your organizational structure whether you work in an all-in-one or federated L&D function. You’ll leave with a practical tracking tool you can implement immediately, real examples of how data analysis drives operational improvements, and strategies to demonstrate measurable value to organizational leadership.

Learning Objectives:

• Differentiate between baselines and benchmarks and the value of each toward L&D operations.
• Draft customized time-tracking frameworks that align with their L&D function.
• Implement practical strategies for overcoming common barriers to time tracking.

The post From Tracking to Baseline: Creating Your L&D Operational Standards appeared first on Learning Guild.

Learning Objectives:

• Explain the benefits of using AI tools for data for analyzing learner data and qualitative feedback.
• Use an AI-powered tool to analyze a set of qualitative feedback.
• Extract key themes, sentiment, and actionable insights from learner data using an AI tool.
• Describe how to use data analysis findings to inform business decisions.

The post Unlocking Learner Insights with AI: Analyzing Data and Qualitative Feedback appeared first on Learning Guild.

This session will focus on the use of metrics and evaluation to understand the need to change the program, to pilot new changes, and then to measure the impact of our work. We use robust metrics, looking at productivity data, time to ramp, and self and manager reported skills growth. Explore strategies that will enable leaders to advocate for investments into learning, despite the massive organizational headwinds L&D teams currently face.

Learning Objectives:

• Learn practical strategies for implementing personalized onboarding programs and unlock the full potential of your new hires.
• Explore how to influence decision-makers on the immense value of investing in organizational growth by using leverage data-driven metrics and evaluation.
• Gain insights into strategically influencing key stakeholders to champion the business solutions you propose.

The post Google Onboarding 2.0: AI & The Personalized Experience appeared first on Learning Guild.

What you’ll learn:

• Why traditional compliance training is outdated and how modern approaches drive real behavior change
• How video content improves engagement, retention and accessibility in corporate training
• How short-form content trends can make compliance training more compelling
• Practical insights to create compliance programs that meet regulatory standards while keeping employees engaged

The post Transforming Compliance Training: From Boring to Engaging appeared first on Learning Guild.